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APBT
代码使用全相位双正交变换(APBT)稀疏表示图像,主函数为test.(The code uses the all phase biorthogonal transform (APBT) sparse representation of the image, the main function for the test.)
- 2021-01-18 15:28:43下载
- 积分:1
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picture3
讲解滤波与二值图像处理,比较简单的图像处理源码(Explain the filtering and binary image processing, image processing source code is relatively simple)
- 2011-12-27 19:14:54下载
- 积分:1
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facedetect
人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测(Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection)
- 2013-07-14 12:50:55下载
- 积分:1
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mixture_of_gaussians
视频图像处理,采用背景减除法中混合高斯建模进行视频前景和背景的分离(Video image processing, background subtraction method using Gaussian mixture modeling to separate the foreground and background video)
- 2014-11-02 14:26:14下载
- 积分:1
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experiment
批量计算气泡的面积 和绘制气泡的轨迹在同一张图片上(Calculate the area of the bubble in batch and draw the trajectory of the bubble on the same picture)
- 2018-02-25 13:49:28下载
- 积分:1
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MATLAB-Arnold-tranform
能进行基于Arnold算法的正变换和反变换(Arnold-based algorithm to the transformation and anti-transform)
- 2009-04-18 11:51:56下载
- 积分:1
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WF_1D_CDP
。基于Wirtinger流的相位恢复算法是由Emmanuel J. Candes等于2015年提出的新的相位恢复算法,该方法不再将光场函数局限于非凸集中,而是利用一种新的初始化方式以及迭代规则来寻找最优解。(a new approach about phase retri which is published in 2015)
- 2017-05-07 10:22:24下载
- 积分:1
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PythonCode
用python编写的基于CV2的图像融合程序,实现偏振信息到IHS的转换、融合。(Using python to write the CV2-based image fusion program to achieve the polarization information to IHS conversion, integration.)
- 2020-11-13 19:49:43下载
- 积分:1
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Project2
通过图片的外参数矩阵对图片进行透视变换,对图片的外参数进行校正(camera calibration)
- 2014-11-14 23:49:33下载
- 积分:1
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Data Acquisition
下面给出了48项泽尼克多项式,外加一项常数项。需要注意的是,读者并不需要严格按照下文所示的顺序排列这些泽尼克项,实际上在不同的应用和机构会采用不同的排列顺序。
表中的#0项是个常数或者说是平移项(piston term),这一项的系数也代表了平均光程差;而#1和#2项分别是x和y方向的倾斜项(tilt terms),#3代表了聚焦,因此,#1到#3项代表了波前的高斯或者近轴特性;#4和#5项代表了像散和离焦,#6和#7项代表彗差和倾斜,而#8项代表了3级像差和离焦,也就是说#4到#8项为3级相差项;同样地,#9到#15项代表了5级像差,而#16到#24项代表了7级像差,#25到#35项代表了9级像差,#36到#48项代表了11级像差。(Here are 48 Zernike polynomials, plus a constant term. It is important to note that the reader does not need to strictly arrange the Zernike entries in the order shown below, but in fact different orders of arrangement are applied to different applications and institutions.
Table #0 is a constant or a shift (piston term), a coefficient of this term also represents the average optical path difference; while #1 and #2 are inclined X and Y direction (tilt terms), #3 represents the focus, therefore, #1 to #3 on behalf of the wavefront. Gauss or paraxial properties; #4 and #5 represent the astigmatism and defocus, #6 and #7 represent coma and tilt, and #8 represents the 3 order aberration and defocus, that is to say #4 to #8 is 3 level difference; similarly, #9 to #15 on behalf of the 5 order aberration #16 and #24, to represent the 7 level #25 to #35 aberration, on behalf of the 9 #36 to #48 aberration, on behalf of the 11 order aberration.)
- 2017-10-09 16:29:16下载
- 积分:1